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תחוםפרמקומטריקהפרמקומטריקה
משפחהHypothesis testRegression model
שנת המקור19871977
הוגה השיטהDonald J. SchuirmannSheiner, Rosenberg & Marathe
סוגParametric equivalence testNonlinear mixed-effects regression model
מקור מכונןSchuirmann, D. J. (1987). A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability. Journal of Pharmacokinetics and Biopharmaceutics, 15(6), 657–680. DOI ↗Sheiner, L. B., Rosenberg, B., & Marathe, V. V. (1977). Estimation of population characteristics of pharmacokinetic parameters from routine clinical data. Journal of Pharmacokinetics and Biopharmaceutics, 5(5), 445–479. DOI ↗
כינוייםTOST Procedure, Average Bioequivalence, BE Analysis, Biyoeşdeğerlik AnaliziPopPK, Nonlinear Mixed-Effects Modeling, NONMEM Approach, Popülasyon Farmakokinetiği
קשורות22
תקצירBioequivalence Analysis is a regulatory-grade statistical framework used to determine whether a test drug formulation (generic or reformulated) delivers the active ingredient to the systemic circulation at a rate and extent comparable to a reference product. Introduced by Donald J. Schuirmann in 1987, the method operationalizes equivalence through the Two One-Sided Tests (TOST) procedure, replacing the ambiguous absence-of-difference paradigm with an explicit equivalence margin evaluated on log-transformed pharmacokinetic endpoints such as AUC and C_max.Population Pharmacokinetics (PopPK) is a nonlinear mixed-effects modeling framework that characterizes how drugs are absorbed, distributed, metabolized, and eliminated across a patient population, estimating both typical population parameters and the magnitude of between-subject variability. Introduced by Sheiner, Rosenberg, and Marathe in 1977, it enables parameter estimation from sparse, routinely collected clinical data—making it indispensable in drug development, regulatory submissions, and individualized dosing.
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ScholarGateהשוואת שיטות: Bioequivalence Analysis · Population Pharmacokinetics. אוחזר בתאריך 2026-06-20 מתוך https://scholargate.app/he/compare